Han-Gyeol Kim
Papers
2
Total Citations
15
H-Index
2
About
Han-Gyeol Kim’s research lies at the intersection of robotics, artificial intelligence, and human-robot interaction, with a focus on creating intelligent, context-aware autonomous systems. His most cited work, “Experience based domestic environment and user adaptive cleaning algorithm of a robot cleaner” (2014, 12 citations), introduces a novel approach that moves beyond traditional geometric mapping by integrating domestic properties and user habits into cleaning algorithms. This contribution enhances the efficiency and adaptability of household robots, addressing a key limitation in standard complete coverage path planning. Kim’s second notable paper, “Episodic memory system of affective agent with emotion for long-term human-robot interaction” (2013, 3 citations), pioneers the modeling of episodic memory with psychological foundations, enabling robots to store, retain, and retrieve emotionally charged experiences. This work is foundational for developing robots capable of sustained, meaningful interactions with humans. Though his citation counts are modest, Kim’s contributions are significant for advancing robot cognition in domestic settings, blending memory, emotion, and environmental adaptation to push the boundaries of autonomous service robotics.
Research Focus
Key Achievements
Top Papers
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- 2